Title :
Pruning and simulation for determination of frequency and duration indices of composite power systems
Author :
Mitra, J. ; Singh, C.
Author_Institution :
LCG Consult., Los Altos, CA, USA
fDate :
8/1/1999 12:00:00 AM
Abstract :
This paper introduces a method for computing the frequency and duration indices of a composite power system, using random Monte Carlo sampling selectively on those parts of the state space where failure states are more likely to occur. The implementation uses a DC flow model to represent network power flows. The method is tested using a modified form of the IEEE Reliability Test System and is shown to be significantly faster than conventional Monte Carlo simulation, while retaining the same level of accuracy
Keywords :
Monte Carlo methods; failure analysis; power system analysis computing; power system faults; power system reliability; state-space methods; DC flow model; IEEE Reliability Test System; composite power systems; computational accuracy; duration indices; failure states; frequency indices; network power flows; random Monte Carlo sampling; state space pruning; Computational modeling; Costs; Frequency; Power system analysis computing; Power system modeling; Power system planning; Power system reliability; Power system simulation; State-space methods; System testing;
Journal_Title :
Power Systems, IEEE Transactions on
